A 10.42μW/Ch. PPG Sensor with a Zoomed Sampling Based on Velocity of Blood Flow

This work presents a 10.42μW/Ch. PPG sensor with a zoomed sampling based on blood flow velocity. The proposed sensor achieves a 53% reduction in overall power consumption while maintaining heart rate (HR) and blood oxygen saturation (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{SpO}_{2}$</tex>) accuracy with errors of 0.73bpm and 0.53%, respectively, showing robustness even under changes of 30bpm in HR and 6% in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{SpO}_{2}$</tex>.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11074909
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

A 10.42μW/Ch. PPG Sensor with a Zoomed Sampling Based on Velocity of Blood Flow

Jae‐Yoon Sim, Kyujin Choi, Byung-Jun Kim
3 links
Non-Invasive Vital Sign Monitoring
article

A 10.42μW/Ch. PPG Sensor with a Zoomed Sampling Based on Velocity of Blood Flow

Jae‐Yoon Sim, Kyujin Choi, Byung-Jun Kim
article en

Abstract

This work presents a 10.42μW/Ch. PPG sensor with a zoomed sampling based on blood flow velocity. The proposed sensor achieves a 53% reduction in overall power consumption while maintaining heart rate (HR) and blood oxygen saturation (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{SpO}_{2}$</tex>) accuracy with errors of 0.73bpm and 0.53%, respectively, showing robustness even under changes of 30bpm in HR and 6% in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{SpO}_{2}$</tex>.

Pohang University of Science and Technology (KR)
Neurosciences Research Foundation, IC Design Education Center
Openalex Percentile: Top 82%
Non-Invasive Vital Sign Monitoring
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